network n. 1.網(wǎng)眼織物。 2.(鐵路、河道等的)網(wǎng)狀系統(tǒng),網(wǎng)狀組織,廣播網(wǎng),電視網(wǎng),廣播[電視]聯(lián)播公司。 3.【無線電】網(wǎng)路,電路。 4.【計算機】電腦網(wǎng)絡(luò),網(wǎng)。 a network of railways 鐵路網(wǎng)。 a network of falsehoods 一大套謊話,謊話連篇。
no network 表示手機處于網(wǎng)絡(luò)服務范圍以外。; 處于網(wǎng)絡(luò)服務范圍以外
Appiication of artificial network to predict building thermal load 利用神經(jīng)網(wǎng)絡(luò)預測空調(diào)負荷
A experiment of a beam damage detection based on artificial network 基于神經(jīng)網(wǎng)絡(luò)的簡支梁損傷檢測研究
Broadband artificial network 寬頻人工電源網(wǎng)絡(luò)
Construction of an evaluation method for road traffic safety system basing on bp artificial network 一種道路交通安全神經(jīng)網(wǎng)絡(luò)評價模型的構(gòu)建
Application of fuzzy controller inferred by neural artificial network to the setting of strip thickness in hot rolling 人工神經(jīng)網(wǎng)絡(luò)推理的模糊控制器應用于熱軋帶鋼厚度設(shè)定
A novel artificial network model based on fuzzy - rough set for gas emission forecasting of coal is proposed in the paper 本文建立了基于模糊粗糙集的神經(jīng)網(wǎng)絡(luò)預測模型,對瓦斯涌出量進行了預測。
According to the application of such processes to artificial network used for robot control , called gasnets , the system has been introduced 對于國際上現(xiàn)有的幾種no與神經(jīng)網(wǎng)絡(luò)的結(jié)合思想,我們簡單介紹了gasnets及其數(shù)學模型,并分析了其優(yōu)越性。
Applying this classic pattern recognition theory and artificial networks method , this paper proposes the analog fault diagnosis principles with backward - propagation neural network ( bpnn ) algorithm implementation 本文有針對性的提出了模擬電路故障診斷前向多層誤差反傳( bp )網(wǎng)絡(luò)的算法實現(xiàn)途徑。
The results show that moment features and tabulated data are more effective than statistics and fractal parameters in distinguishing five kinds of discharge . but the former have larger input dimension to bp artificial network 識別結(jié)果表明矩特征和三維譜圖表列數(shù)據(jù)有較好的識別效果;統(tǒng)計算子和分形特征提取的特征維數(shù)較少,但識別率較前者低。
Finally , the article uses the testing device get the quantitative signals of mixed gas . with which the article train the artificial network and test the net by the theory of artificial network . and the result shows that the net can fulfill our requirements 接著利用實驗裝置,采集了傳感器陣列的定量輸出信號,根據(jù)bp神經(jīng)網(wǎng)絡(luò)的相關(guān)理論,利用樣本信號對網(wǎng)絡(luò)進行了訓練和驗證,結(jié)果基本滿足要求;隨后根據(jù)網(wǎng)絡(luò)各層的權(quán)值和閾值,將網(wǎng)絡(luò)移植到單片機中。